AI Process and Productivity Lead

Overview

Senti Link provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States, replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and expanding into new markets.

Senti Link is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from Tech Crunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, Lend It, and have been named to the Forbes Fintech 50 list every year since 2023. We were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.

Senti Link supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly.

Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.

We are seeking an AI Process & Productivity Lead to institutionalize the use of AI across core business processes. The mission of this role is to create increasing scale on costs by systematically identifying, implementing, and measuring AI-enabled improvements that drive meaningful productivity gains. Starting with two pilot functions, this leader will design a repeatable framework for AI opportunity identification, deployment, governance, and performance measurement.

Success in this role will be defined by sustained, measurable improvements in cost efficiency, cycle time, and quality — and by building an internal capability that enables responsible, scalable AI adoption across the organization.

• AI Opportunity Identification and Prioritization:
  Partner with functional leaders to identify high-leverage processes suitable for AI enablement. Map workflows, quantify baseline performance (cost, time, quality), and prioritize opportunities based on ROI and feasibility. Develop clear business cases for AI investments, including expected impact and risks.
• Implementation and Execution:
  Lead end-to-end deployment of AI tools and workflow redesign across pilot functions. Redesign processes to embed AI natively rather than layering tools onto existing inefficiencies. Coordinate cross-functionally to ensure adoption, training, and operational continuity. Ensure compliance with data security, privacy, and risk standards.
• Measurement and Performance Management:
  Define standardized metrics to assess AI impact (e.g., cost per unit, throughput, error rates, headcount leverage). Establish dashboards and reporting cadences to track performance. Deliver sustained productivity improvements in pilot processes, with documented performance over at least six months. Present regular updates to executive leadership on outcomes, risks, and expansion opportunities.
• Framework and Capability Building:
  Develop and document a repeatable AI evaluation and implementation framework. Create internal playbooks, governance guidelines, and training materials for responsible AI usage. Establish an intake process for AI ideas across the company. Expand the program beyond initial pilots as results are validated.

• 5+ years of experience in process transformation, operations, automation, or strategic initiatives in a high-growth environment.
• Demonstrated success delivering measurable productivity, cost, or quality improvements.
• Strong analytical capability with comfort defining metrics and evaluating ROI.
• Practical familiarity with AI tools, workflow automation platforms, and…